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Introduction to Propellyr​






Propellyr is a chain-agnostic data platform company which provides accurate and reliable blockchain data. The platform offers a comprehensive set of tools focussed on making Blockchain data analytics extremely fast and simple. Propellyr platform addresses the below problems of Blockchain Data Analytics:

  • Cost - Setting up a data infrastructure for blockchain analytics needs managing blockchain nodes which is expensive.
  • Scarcity of Engineers - Any blockchain data platforms entails building a highly skilled team comprising of blockchain developers, data engineers and application developers which is difficult.
  • Rapidly Growing Ecosystem - The blockchain ecosystem is evolving rapidly with new chains and smart contracts getting added frequently.
  • Diversified Technology Stack - The data stack would need a diverse set of technologies which is hard to build and maintain.
  • Lack of Clean Data - The data available from different blockchain networks needs multiple transformations and cleanup before it can be used for analytics.

How Propellyr solves these problems?​

Propellyr leverages modern data engineering technologies to offer an ultra-fast blockchain data SQL infrastructure. Some of the key highlights of the platforms are:

  • Multichain Data - Integration with multiple blockchain networks.
  • Data Hubs - A pre-defined collection of similar smart contracts classified as NFT, DeFi and Bridges offering custom transformations.
  • Unified Data Model - Aggregation of data from different blockchains and transforming it into a unified data model which makes cross-chain analytics easy.
  • Decoder Infrastructure - A database of over 2M+ Contract ABIs for decoding blockchain transactions and log events. The Decoder also offers an AI-based tool to decode smart contracts transactions which are not verified.
  • Ultra-fast SQL Engine - An SQL engine which can run analytics query on 100M+ records within seconds.
  • Batch and Data Streams - Stream data to on-prem infrastructure for Analytics and AI/ML use cases.